All models were compiled using Hailo Dataflow Compiler v2.18.0.
| Key / Icon | Description |
|---|---|
| ⭐ | Networks used by Hailo-apps. |
| S | Source – Link to the model's open-source repository. |
| PT | Pretrained – Download the pretrained model file (ZIP format). |
| HEF, NV12, RGBX | Compiled Models – Links to models in various formats: - HEF: RGB format - NV12: NV12 format - RGBX: RGBX format |
| PR | Profiler Report – Download the model's performance profiling report. |
| Network Name | float mAP | Hardware mAP | FPS (Batch Size=1) | FPS (Batch Size=8) | Links | Input Resolution (HxWxC) | Params (M) | OPS (G) |
|---|---|---|---|---|---|---|---|---|
| centernet_resnet_v1_18_postprocess | 26.4 | 25.0 | 99.4 | 177 | 512x512x3 | 14.22 | 31.21 | |
| centernet_resnet_v1_50_postprocess | 31.8 | 29.2 | 57.6 | 100 | 512x512x3 | 30.07 | 56.92 | |
| damoyolo_tinynasL20_T | 42.8 | 42.3 | 124 | 268 | 640x640x3 | 11.35 | 18.02 | |
| damoyolo_tinynasL25_S | 46.5 | 45.3 | 78.2 | 148 | 640x640x3 | 16.25 | 37.64 | |
| damoyolo_tinynasL35_M | 49.7 | 47.6 | 51.4 | 89.2 | 640x640x3 | 33.98 | 61.64 | |
| detr_resnet_v1_18_bn | 33.9 | 31.5 | 23.4 | 50.0 | 800x800x3 | 32.42 | 61.87 | |
| efficientdet_lite0 | 27.3 | 26.5 | 92.0 | 239 | 320x320x3 | 3.56 | 1.94 | |
| efficientdet_lite1 | 32.3 | 31.8 | 75.9 | 184 | 384x384x3 | 4.73 | 4 | |
| efficientdet_lite2 | 35.9 | 34.7 | 39.8 | 88.4 | 448x448x3 | 5.93 | 6.84 | |
| nanodet_repvgg | 29.3 | 28.5 | 620 | 620 | 416x416x3 | 6.74 | 11.28 | |
| nanodet_repvgg_a12 | 33.7 | 32.5 | 201 | 201 | 640x640x3 | 5.13 | 28.23 | |
| nanodet_repvgg_a1_640 | 33.3 | 32.9 | 201 | 201 | 640x640x3 | 10.79 | 42.8 | |
| ssd_mobilenet_v1⭐ | 23.2 | 22.4 | 356 | 356 | 300x300x3 | 6.79 | 2.5 | |
| ssd_mobilenet_v2 | 24.2 | 23.0 | 131 | 293 | 300x300x3 | 4.46 | 1.52 | |
| tiny_yolov3 | 14.6 | 14.3 | 899 | 899 | 416x416x3 | 8.85 | 5.58 | |
| tiny_yolov4 | 19.2 | 17.7 | 895 | 895 | 416x416x3 | 6.05 | 6.92 | |
| yolo26m | 51.7 | 50.0 | 28.6 | 47.1 | 640x640x3 | 20.4 | 68.4 | |
| yolo26n | 39.2 | 37.4 | 111 | 255 | 640x640x3 | 2.4 | 5.5 | |
| yolo26s | 46.8 | 44.8 | 66.6 | 147 | 640x640x3 | 9.5 | 20.9 | |
| yolov10b⭐ | 52.0 | 50.8 | 25.9 | 45.7 | 640x640x3 | 20.15 | 92.09 | |
| yolov10n⭐ | 38.5 | 36.6 | 150 | 359 | 640x640x3 | 2.3 | 6.8 | |
| yolov10s⭐ | 45.9 | 45.0 | 87.6 | 187 | 640x640x3 | 7.2 | 21.7 | |
| yolov10x⭐ | 53.7 | 51.8 | 12.0 | 18.1 | 640x640x3 | 31.72 | 160.56 | |
| yolov11l⭐ | 52.8 | 52.0 | 21.8 | 37.1 | 640x640x3 | 25.3 | 87.17 | |
| yolov11m⭐ | 51.1 | 49.8 | 35.3 | 58.1 | 640x640x3 | 20.1 | 68.1 | |
| yolov11n⭐ | 39.0 | 37.8 | 157 | 371 | 640x640x3 | 2.6 | 6.55 | |
| yolov11s⭐ | 46.3 | 45.5 | 91.9 | 192 | 640x640x3 | 9.4 | 21.6 | |
| yolov11x⭐ | 54.1 | 53.1 | 12.1 | 18.1 | 640x640x3 | 56.9 | 195.29 | |
| yolov3 | 38.4 | 38.3 | 15.7 | 19.6 | 608x608x3 | 68.79 | 158.10 | |
| yolov3_416 | 37.7 | 37.6 | 34.0 | 69.6 | 416x416x3 | 61.92 | 65.94 | |
| yolov3_gluon | 37.3 | 35.7 | 25.6 | 39.9 | 608x608x3 | 68.79 | 140.7 | |
| yolov3_gluon_416 | 36.3 | 34.2 | 31.7 | 57.3 | 416x416x3 | 61.92 | 65.94 | |
| yolov4_leaky | 48.3 | 47.1 | 22.1 | 32.0 | 512x512x3 | 64.33 | 91.04 | |
| yolov5m⭐ | 42.6 | 41.3 | 60.4 | 105 | 640x640x3 | 21.78 | 52.17 | |
| yolov5m6_6.1 | 50.7 | 49.3 | 16.2 | 19.6 | 1280x1280x3 | 35.70 | 200.04 | |
| yolov5m_6.1 | 44.7 | 43.5 | 69.2 | 118 | 640x640x3 | 21.17 | 48.96 | |
| yolov5m_wo_spp⭐ | 43.1 | 41.5 | 62.9 | 106 | 640x640x3 | 22.67 | 52.88 | |
| yolov5s⭐ | 35.3 | 34.1 | 124 | 243 | 640x640x3 | 7.46 | 17.44 | |
| yolov5s_bbox_decoding_only | 35.3 | 34.1 | 124 | 243 | 640x640x3 | 7.46 | 17.44 | |
| yolov5s_c3tr | 37.1 | 35.7 | 120 | 240 | 640x640x3 | 10.29 | 17.02 | |
| yolov5s_wo_spp | 34.8 | 33.8 | 137 | 275 | 640x640x3 | 7.85 | 17.74 | |
| yolov5xs_wo_spp | 33.2 | 32.1 | 206 | 438 | 512x512x3 | 7.85 | 11.36 | |
| yolov5xs_wo_spp_nms_core | 32.7 | 31.1 | 57.2 | 512x512x3 | 7.85 | 11.36 | ||
| yolov6n⭐ | 34.3 | 32.5 | 356 | 356 | 640x640x3 | 4.32 | 11.12 | |
| yolov6n_0.2.1 | 35.2 | 34.1 | 560 | 560 | 640x640x3 | 4.33 | 11.06 | |
| yolov6n_0.2.1_nms_core | 35.2 | 34.0 | 199 | 199 | 640x640x3 | 4.32 | 11.12 | |
| yolov7⭐ | 50.6 | 48.8 | 36.7 | 58.1 | 640x640x3 | 36.91 | 104.51 | |
| yolov7_tiny | 37.1 | 36.1 | 157 | 297 | 640x640x3 | 6.22 | 13.74 | |
| yolov7e6 | 55.4 | 53.7 | 6.43 | 7.97 | 1280x1280x3 | 97.20 | 515.12 | |
| yolov8l⭐ | 52.4 | 51.8 | 26.1 | 40.7 | 640x640x3 | 43.7 | 165.3 | |
| yolov8m⭐ | 49.9 | 49.2 | 50.8 | 87.0 | 640x640x3 | 25.9 | 78.93 | |
| yolov8n⭐ | 37.0 | 36.4 | 202 | 438 | 640x640x3 | 3.2 | 8.74 | |
| yolov8s⭐ | 44.6 | 44.0 | 110 | 208 | 640x640x3 | 11.2 | 28.6 | |
| yolov8s_bbox_decoding_only | 44.8 | 44.2 | 110 | 208 | 640x640x3 | 11.2 | 28.6 | |
| yolov8x⭐ | 53.5 | 52.9 | 16.2 | 23.2 | 640x640x3 | 68.2 | 258 | |
| yolov9c⭐ | 52.6 | 51.5 | 27.2 | 42.2 | 640x640x3 | 25.3 | 102.1 | |
| yolox_l_leaky | 48.7 | 46.6 | 25.4 | 39.2 | 640x640x3 | 54.17 | 155.3 | |
| yolox_s_leaky | 38.1 | 37.3 | 109 | 199 | 640x640x3 | 8.96 | 26.74 | |
| yolox_s_wide_leaky | 42.4 | 41.0 | 64.0 | 102 | 640x640x3 | 20.12 | 59.46 | |
| yolox_tiny | 32.6 | 31.3 | 214 | 510 | 416x416x3 | 5.05 | 6.44 |